Hello all, I'm a biology student working to apply ANOVA models to microarray data. I wanted to brush up on my statistics before doing that, and I started back at linear modelling. Hopefully this isn't too obvious a question that I should have picked up in my reading somewhere.... I'm currently working through Practical Regression and ANOVA using R by Faraway (it's free, thankfully). I tried to google this but didn't come up with much.
My confusion comes from considering the coefficients of a linear-model, say in R. What you get after fitting the model is a table of: variable estimate standard error t-value Pr(>|t|) I understand that the t-value is the ratio of the estimate to the standard error. After that, I'm lost though: a) How do I interpret +ve vs. -ve t-values? b) What do I make of the Pr(>|t|)? I'm completely stumped on a) currently, and for b) my best guess it that it is the probability that estimate is non-zero. Any guidance or advice -- including tips on good places to find answers to these types of questions in the future -- are very much appreciated. Tats . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
